GP-based methodology for HW/SW co-synthesis of multiprocessor embedded systems with increasing number of individuals obtained by mutation

Adam Górski, M. Ogorzałek
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Abstract

In this work, a genetic programming methodology for co-synthesis of multiprocessor systems is presented. Genotype is a tree which nodes include system construction procedures. Thus the design methodology is evolving. Next generations are obtained using genetic operators: mutation, reproduction and crossover. Unlike other algorithms in presented methodology number of individuals obtained by mutation operator is not const. Therefore number of individuals in each population is increasing. The size of final generation is found by the algorithm.
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基于gp的多处理器嵌入式系统的硬件/软件协同合成方法
在这项工作中,提出了一种多处理器系统协同合成的遗传规划方法。基因型是一个节点包含系统构建过程的树。因此,设计方法也在不断发展。下一代是通过基因操作获得的:突变、繁殖和交叉。与本方法中的其他算法不同,变异算子获得的个体数不是常量。因此,每个种群中的个体数量都在增加。最终生成的大小由算法确定。
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